python import json data

import json

with open('path_to_file/person.json') as f:
  data = json.load(f)

print(data)

import json
from pymongo import MongoClient

client = MongoClient('localhost', 27017)
db = client['countries_db']
collection_currency = db['currency']

with open('currencies.json') as f:
    file_data = json.load(f)

# if pymongo < 3.0, use insert()
collection_currency.insert(file_data)
# if pymongo >= 3.0 use insert_one() for inserting one document
collection_currency.insert_one(file_data)
# if pymongo >= 3.0 use insert_many() for inserting many documents
collection_currency.insert_many(file_data)

client.close()

import json

with open('data.txt') as json_file:
    data = json.load(json_file)

>>> import json
>>> json.loads('["foo", {"bar":["baz", null, 1.0, 2]}]')
['foo', {'bar': ['baz', None, 1.0, 2]}]
>>> json.loads('"\\"foo\\bar"')
'"foo\x08ar'
>>> from io import StringIO
>>> io = StringIO('["streaming API"]')
>>> json.load(io)
['streaming API']

# Basic syntax:
import ast
# Create function to import JSON-formatted data:
def import_json(filename):
  for line in open(filename):
    yield ast.literal_eval(line)
# Where ast.literal_eval allows you to safely evaluate the json data.
# 	See the following link for more on this:
# 	https://stackoverflow.com/questions/15197673/using-pythons-eval-vs-ast-literal-eval
        
# Import json data
data = list(import_json("/path/to/filename.json"))

# (Optional) convert json data to pandas dataframe:
dataframe = pd.DataFrame.from_dict(data)
# Where keys become column names